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ahmedabdelrashied
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xlm-roberta-base-POS-arabic

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xlm-roberta
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End of training

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  1. README.md +8 -8
  2. model.safetensors +1 -1
  3. runs/Mar26_11-27-14_52e5f1be6c6c/events.out.tfevents.1711452440.52e5f1be6c6c.34.15 +3 -0
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  7. training_args.bin +1 -1
README.md CHANGED
@@ -18,9 +18,9 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.4289
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- - F1: 0.4702
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- - Accuracy: 0.6310
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  ## Model description
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@@ -54,11 +54,11 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | F1 | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|:--------:|
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- | 0.7746 | 1.0 | 1 | 1.6636 | 0.3916 | 0.5762 |
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- | 0.665 | 2.0 | 2 | 1.5787 | 0.4254 | 0.6036 |
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- | 0.6132 | 3.0 | 3 | 1.5038 | 0.4535 | 0.6206 |
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- | 0.5528 | 4.0 | 4 | 1.4575 | 0.4659 | 0.6263 |
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- | 0.5457 | 5.0 | 5 | 1.4289 | 0.4702 | 0.6310 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0822
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+ - F1: 0.9689
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+ - Accuracy: 0.9785
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | F1 | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|:--------:|
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+ | 0.5584 | 1.0 | 95 | 0.1231 | 0.9537 | 0.9679 |
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+ | 0.1191 | 2.0 | 190 | 0.0933 | 0.9645 | 0.9755 |
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+ | 0.0901 | 3.0 | 285 | 0.0868 | 0.9667 | 0.9768 |
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+ | 0.0757 | 4.0 | 380 | 0.0851 | 0.9675 | 0.9774 |
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+ | 0.066 | 5.0 | 475 | 0.0822 | 0.9689 | 0.9785 |
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  ### Framework versions
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